Evidence map›Paper›PMID 20302654›Full record

ArticleBMC medical genomics2010

Genotypes and haplotypes in the insulin-like growth factors, their receptors and binding proteins in relation to plasma metabolic levels and mammographic density.

Margarethe Biong, Inger T Gram, Ilene Brill, Fredrik Johansen, Hiroko K Solvang, Grethe I G Alnaes, Toril Fagerheim, Yngve Bremnes, Stephen J Chanock, Laurie Burdett and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Genetic architecture of mammographic density as a risk factor for breast cancer: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Pooled it
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  6. High-Resolution Bisulfite-Sequencing of Peripheral Blood DNA Methylation in Early-Onset and Familial Risk Breast Cancer Patients.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
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  14. New genetic variants improve personalized breast cancer diagnosis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014
    Article
  15. Article
  16. Genetic variants improve breast cancer risk prediction on mammograms.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 2 countries.

Margarethe BiongDepartment of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Montebello 0310, Oslo, Norway.
Inger T Gram
Ilene Brill
Fredrik Johansen
Hiroko K Solvang
Grethe I G Alnaes
Toril Fagerheim
Yngve Bremnes
Stephen J Chanock
Laurie Burdett
Meredith Yeager
Giske Ursin
Vessela N Kristensen
Oslo University Hospital · NONational Cancer Institute · USUiT The Arctic University of Norway · NOUniversity of Oslo · NOUniversity Hospital of North Norway · NOUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreased mammographic density is one of the strongest independent risk factors for breast cancer. It is believed that one third of breast cancers are derived from breasts with more than 50% density. Mammographic density is affected by age, BMI, parity, and genetic predisposition. It is also greatly influenced by hormonal and growth factor changes in a woman's life cycle, spanning from puberty through adult to menopause. Genetic variations in genes coding for hormones and growth factors involved in development of the breast are therefore of great interest. The associations between genetic polymorphisms in genes from the IGF pathway on mammographic density and circulating levels of IGF1, its binding protein IGFBP3, and their ratio in postmenopausal women are reported here.

methodsSamples from 964 postmenopausal Norwegian women aged 55-71 years were collected as a part of the Tromsø Mammography and Breast Cancer Study. All samples were genotyped for 25 SNPs in IGF1, IGF2, IGF1R, IGF2R, IGFALS and IGFBP3 using Taqman (ABI). The main statistical analyses were conducted with the PROC HAPLOTYPE procedure within SAS/GENETICS (SAS 9.1.3).

resultsThe haplotype analysis revealed six haploblocks within the studied genes. Of those, four had significant associations with circulating levels of IGF1 or IGFBP3 and/or mammographic density. One haplotype variant in the IGF1 gene was found to be associated with mammographic density. Within the IGF2 gene one haplotype variant was associated with levels of both IGF1 and IGFBP3. Two haplotype variants in the IGF2R were associated with the level of IGF1. Both variants of the IGFBP3 haplotype were associated with the IGFBP3 level and indicate regulation in cis.

conclusionPolymorphisms within the IGF1 gene and related genes were associated with plasma levels of IGF1, IGFBP3 and mammographic density in this study of postmenopausal women.

Indexed as

MammographyAgedBiomarkers, TumorBody Mass IndexBreast NeoplasmsCarrier ProteinsFemaleGenotypeGlycoproteinsHaplotypesHumansInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor Binding ProteinsInsulin-Like Growth Factor IInsulin-Like Growth Factor IIMiddle AgedBiomarkers, TumorCarrier ProteinsGlycoproteinsIGFBP3 protein, humanInsulin-Like Growth Factor Binding Protein 3insulin-like growth factor binding protein, acid labile subunitInsulin-Like Growth Factor Binding ProteinsInsulin-Like Growth Factor IInsulin-Like Growth Factor IIReceptor, IGF Type 1Receptor, IGF Type 2

Identifiers

PMID20302654
PMCPMC2853484
OpenAlexW2147206998

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.